Triple
T945272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Mathewson |
E20397
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Christy
Christy was the nickname of Christy Mathewson, a legendary early 20th-century Major League Baseball pitcher and Hall of Famer known for his dominance with the New York Giants.
|
E111111
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christy | Statement: [Christy Mathewson, nickname, Christy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christy Context triple: [Christy Mathewson, nickname, Christy]
-
A.
Christina
Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
-
B.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
C.
Charley St. James
Charley St. James is a fictional character from the American prime-time soap opera "Falcon Crest," which centers on the intrigues and power struggles surrounding a California wine dynasty.
-
D.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
-
E.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Christy Triple: [Christy Mathewson, nickname, Christy]
Generated description
Christy was the nickname of Christy Mathewson, a legendary early 20th-century Major League Baseball pitcher and Hall of Famer known for his dominance with the New York Giants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christy Target entity description: Christy was the nickname of Christy Mathewson, a legendary early 20th-century Major League Baseball pitcher and Hall of Famer known for his dominance with the New York Giants.
-
A.
Christina
Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
-
B.
Charlene
Charlene is a feminine given name derived from the male name Charles.
-
C.
Charley St. James
Charley St. James is a fictional character from the American prime-time soap opera "Falcon Crest," which centers on the intrigues and power struggles surrounding a California wine dynasty.
-
D.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
-
E.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e7d55c8190b9b871caead76733 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a845a793e08190892fe1a545095f62 |
completed | March 4, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a8463631608190a9ada5605e9625aa |
completed | March 4, 2026, 2:48 p.m. |
Created at: March 1, 2026, 7:40 p.m.